Research monitor · Page 4

3 Ways to Boost MoE Inference on NVIDIA DGX Spark

Evaluation & safety · primary_technical_publication

Generating tokens faster starts with identifying what limits inference performance. In the batch-size-1 evaluation of Ling-3.0-flash from Inclusion AI on NVIDIA...

NVIDIA RTX Spark Powers Neural Rendering and AI Characters in Games

AI models · primary_technical_publication

NVIDIA RTX Spark is a new Windows PC platform for AI development, creation, and gaming in slim laptops and compact desktops. Powered by an NVIDIA

Fine-Tuning NVIDIA Nemotron to Know Local Rules, Not Just Local Languages

AI models · primary_technical_publication

As AI adoption expands globally, people across languages and cultures are using it in more aspects of their daily lives. General-purpose language models serve...

Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4

Compute & efficiency · primary_technical_publication

Many AI workloads need only a fraction of a GPU. Giving each one an entire device can leave capacity idle; sharing GPUs lets platform teams

Retell uses OpenAI models to help power 100M monthly calls

Agent systems · provider_announcement

GPT-6 Astra tops Retell’s voice agent benchmark, while Codex helps it reach a $1.6M annual revenue run rate per employee.

Can we trust LLMs to judge whether a research idea is novel?

AI models · primary_technical_publication

Build specialized multimodal models with LFM3

Multimodal AI · primary_technical_publication

How NVIDIA Minerva Turns Telemetry Chaos Into Peak GPU Yield

Compute & efficiency · primary_technical_publication

AI Factories are some of the most technologically complex operational environments ever created. Hundreds of thousands of GPUs, NVIDIA Spectrum-X Ethernet...

How NVIDIA Mission Control 2.5 Brings Autonomous Recovery to Kubernetes

Compute & efficiency · primary_technical_publication

Training large-scale AI models on thousands of GPUs is a high-stakes operation where monitoring and automation must be built-in to optimize cluster resiliency...

Greptile takes bug detection beyond code review with GPT-6 Astra

Agent systems · provider_announcement

How Greptile uses GPT-6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework.

GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases

Agent systems · provider_announcement

CodeRabbit uses GPT-6.1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.

Introducing GPT-6.1 Terra

Agent systems · provider_announcement

Bringing fast and capable computer use to everyone

h1: A Taste of the Bitter Lesson in Automated Theorem Proving

Formal verification · preprint

While progress in informal mathematics has come largely from scaling the chain-of-thought and agentic reasoning of frontier language models, formal theorem proving has increasingly relied

Using AI Agents to Teach Robots Like Microduck to Walk in Simulation

Agent systems · primary_technical_publication

Teaching a robot to navigate an obstacle course requires more than a walking policy. It must perceive its surroundings, maintain balance, and adjust its actions...

Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 1

Compute & efficiency · primary_technical_publication

Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compilation problem with many legitimate answers. For...

Anima helps clinics cut call waits by 75% with GPT-6 and GPT-Live

AI models · provider_announcement

Anima expands what care teams can do with OpenAI models, giving them more capacity to respond to patients.

OpenAI and Poland’s NASK partner to advance AI safety and security

Evaluation & safety · provider_announcement

OpenAI and Poland’s NASK are partnering on AI safety, security, and technical research to strengthen safeguards and support a more resilient digital ecosystem.

PaperFormalizer: Author-in-the-Loop Autoformalization of Research Papers in Lean

Formal verification · preprint

Even a carefully proofread paper can leave small gaps in its proofs or its stated assumptions. We introduce PaperFormalizer, a Lean-based agentic pipeline that helps

Flint-interactive: A language for creating interactive data visualizations

Agent systems · primary_technical_publication

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author

How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage

Compute & efficiency · primary_technical_publication

GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI...

Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes

Compute & efficiency · primary_technical_publication

AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining inference calls, and experimenting...

Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox

Agent systems · primary_technical_publication

Ensemble forecasting with IBM Granite time-series models

AI models · primary_technical_publication

How we built ChatGPT’s novel ad stack for user trust and relevance

AI models · provider_announcement

Learn how OpenAI built ChatGPT’s LLM-powered ad stack to understand conversational intent, keep ads separate from answers, and deliver relevant ads at scale.